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Moses Gummadi
By the end of this project, you will learn gain introductiory knowledge of Discrete Event Simulation, use R Studio and Simmer library, create statistical variables required for simulation, define process trajectory, define and assign resources, define arrivals (eg. incoming customers / work units), run simulation in R, store results in data frames, plot charts and interpret the results.
Register for this course and see more details by visiting:
OpenCourser.com/course/qqw1hv/simulation
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What's inside
Syllabus
Project Overview
Welcome to "Simulation of CONWIP Production Control Using R-Simmer". This is a project-based course which should take about 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will gain introductiory knowledge of CONWIP Production Control, Discrete Event Simulation, be able to use R Studio and Simmer library, create statistical variables required for simulation, define process trajectory, define and assign resources, define arrivals (eg. incoming customers / work units), run simulation in R, store results in data frames, plot charts and interpret the results.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops Discrete Event Simulation knowledge, which is standard in the industry
Teaches how to use R Studio and Simmer Library, which is commonly used in industry
Explores CONWIP Production Control, which is a widely-used technique in manufacturing
Taught by Moses Gummadi, who has expertise in simulation modeling
Offers hands-on labs and interactive materials, enhancing practical skills
Requires some background in statistics and simulation, which may limit accessibility for beginners
Save this course
Save Simulation of CONWIP Production Control Using R Simmer to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Simulation of CONWIP Production Control Using R Simmer with these
activities:
Organize Course Materials
Show steps
Organize your notes, assignments, and resources for easy access and review.
Show steps
-
Create a system for categorizing and filing your materials.
-
Use digital tools or physical folders to keep track of your work.
-
Review your materials regularly to improve retention and understanding.
Review 'Discrete-Event Simulation: Theory and Applications'
Show steps
Review a comprehensive text on DES to build a solid theoretical foundation.
View
Discrete-Event System Simulation
on Amazon
Show steps
-
Read the chapters on DES concepts, modeling techniques, and analysis methods.
-
Solve the practice problems and case studies to reinforce your understanding.
Simulate with Simmer functions
Show steps
Practice simulating with Simmer functions to strengthen your understanding of DES and R coding.
Browse courses on
Simmer Library
Show steps
-
Create a simulation model in R using the Simmer library.
-
Define the simulation parameters, such as the arrival rate, service time, and number of servers.
-
Run the simulation and collect the results.
-
Analyze the results and draw conclusions.
Two other activities
Expand to see all activities and additional details
Show all five activities
Explore Simmer Tutorials and Documentation
Show steps
Enhance your skills in using Simmer by following guided tutorials and exploring the documentation.
Browse courses on
Simmer Library
Show steps
-
Access the Simmer documentation and tutorials.
-
Follow the tutorials to learn about different features and functionalities of Simmer.
-
Refer to the documentation for detailed explanations and examples.
Develop a DES Model for a Real-World Problem
Show steps
Apply your DES skills to solve a real-world problem and create a comprehensive model.
Show steps
-
Identify a suitable problem for DES modeling.
-
Collect data and determine the appropriate model parameters.
-
Build the DES model using Simmer.
-
Analyze the results and draw conclusions.
Organize Course Materials
Show steps
Organize your notes, assignments, and resources for easy access and review.
Show steps
Show steps
Show steps
- Create a system for categorizing and filing your materials.
- Use digital tools or physical folders to keep track of your work.
- Review your materials regularly to improve retention and understanding.
Review 'Discrete-Event Simulation: Theory and Applications'
Show steps
Review a comprehensive text on DES to build a solid theoretical foundation.
View
Discrete-Event System Simulation
on Amazon
Show steps
Show steps
Show steps
- Read the chapters on DES concepts, modeling techniques, and analysis methods.
- Solve the practice problems and case studies to reinforce your understanding.
Simulate with Simmer functions
Show steps
Practice simulating with Simmer functions to strengthen your understanding of DES and R coding.
Browse courses on
Simmer Library
Show steps
Show steps
Show steps
- Create a simulation model in R using the Simmer library.
- Define the simulation parameters, such as the arrival rate, service time, and number of servers.
- Run the simulation and collect the results.
- Analyze the results and draw conclusions.
Two other activities
Expand to see all activities and additional details
Show all five activities
Explore Simmer Tutorials and Documentation
Show steps
Enhance your skills in using Simmer by following guided tutorials and exploring the documentation.
Browse courses on
Simmer Library
Show steps
Show steps
Show steps
- Access the Simmer documentation and tutorials.
- Follow the tutorials to learn about different features and functionalities of Simmer.
- Refer to the documentation for detailed explanations and examples.
Develop a DES Model for a Real-World Problem
Show steps
Apply your DES skills to solve a real-world problem and create a comprehensive model.
Show steps
Show steps
Show steps
- Identify a suitable problem for DES modeling.
- Collect data and determine the appropriate model parameters.
- Build the DES model using Simmer.
- Analyze the results and draw conclusions.
Career center
Learners who complete Simulation of CONWIP Production Control Using R Simmer will develop knowledge and skills
that may be useful to these careers:
Simulation Engineer
Simulation Engineer
Simulation Engineers develop and use computer simulations to analyze and improve complex systems. This course provides a solid foundation in simulation modeling and analysis, which are essential for Simulation Engineers. By learning to define process trajectories, assign resources, and run simulations in R, you can build realistic models to evaluate system performance, identify bottlenecks, and optimize system design.
Industrial Engineer
Industrial Engineer
Industrial Engineers design, improve, and install integrated systems for managing industrial production and operations. This course offers a comprehensive overview of simulation and production control, which are fundamental concepts for Industrial Engineers. By gaining a thorough understanding of CONWIP Production Control and Discrete Event Simulation, you can develop and implement efficient manufacturing systems that meet customer demands while minimizing costs.
Process Engineer
Process Engineer
Process Engineers design and improve processes to optimize efficiency and productivity. This course offers a practical introduction to simulation and process optimization techniques. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and implement efficient processes that minimize bottlenecks and maximize throughput, leading to improved process performance.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst focuses on the design, development, and implementation of mathematical models to improve the efficiency of systems and processes. This course can provide a solid foundation in simulation and optimization techniques, which are essential for OR Analysts. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and analyze models to optimize manufacturing and production systems, leading to increased efficiency and cost savings.
Systems Analyst
Systems Analyst
Systems Analysts design, develop, and implement computer systems. This course provides a foundation in simulation and system analysis techniques, which are essential for Systems Analysts. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate system designs, identify potential bottlenecks, and optimize system performance, leading to more efficient and effective systems.
Operations Manager
Operations Manager
Operations Managers plan, organize, and direct the operations of an organization. This course provides a foundation in simulation and production control techniques, which can be valuable for Operations Managers working on projects involving process optimization and resource management. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to identify bottlenecks, optimize resource allocation, and improve overall operational efficiency, leading to increased productivity and profitability.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing Engineers plan, design, and oversee production processes in manufacturing facilities. This course provides valuable insights into production control and simulation techniques used in manufacturing. By learning to simulate production systems and optimize resource allocation, you can improve production efficiency, reduce waste, and enhance overall manufacturing operations.
Data Scientist
Data Scientist
Data Scientists use statistical and computational methods to extract insights from data. This course provides a practical introduction to simulation and data modeling, which are valuable skills for Data Scientists. By learning to create statistical variables, define process trajectories, and run simulations in R, you can build predictive models to support decision-making and solve real-world problems.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to provide insights for decision-making. This course offers a practical introduction to simulation and data modeling, which can be valuable for Data Analysts working on projects involving system optimization and resource allocation. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop simulations to test different scenarios, evaluate potential solutions, and optimize resource allocation, leading to better data-driven decisions.
Supply Chain Manager
Supply Chain Manager
Supply Chain Managers plan, organize, and control the flow of goods and services from suppliers to customers. This course provides a foundation in simulation and supply chain management techniques, which can be valuable for Supply Chain Managers working on projects involving logistics and resource optimization. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to optimize inventory levels, reduce lead times, and improve overall supply chain performance, leading to increased customer satisfaction and profitability.
Management Consultant
Management Consultant
Management Consultants advise organizations on how to improve their performance. This course provides a foundation in simulation and business process optimization techniques, which can be valuable for Management Consultants working on projects involving operational efficiency and resource management. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to identify bottlenecks, optimize resource allocation, and improve overall business performance.
Project Manager
Project Manager
Project Managers plan, execute, and manage projects to achieve specific goals. This course offers a practical introduction to simulation and project planning techniques, which can be valuable for Project Managers working on projects involving resource allocation and scheduling. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to optimize project schedules, identify potential risks, and allocate resources effectively, leading to more successful project outcomes.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. This course offers a practical introduction to simulation and business process optimization techniques, which can be valuable for Business Analysts working on projects involving operational efficiency and data analysis. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to identify bottlenecks, optimize resource allocation, and improve overall business performance, leading to informed decision-making and better outcomes.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course offers a practical introduction to simulation and modeling techniques, which can be valuable for Software Engineers working on system development and optimization projects. By understanding CONWIP Production Control and Discrete Event Simulation, you can create simulations to test software performance, identify potential issues, and optimize software design, leading to more efficient and reliable software systems.
Financial Analyst
Financial Analyst
Financial Analysts evaluate and make recommendations on investment opportunities. This course may be helpful for Financial Analysts who are interested in using simulation techniques to model and analyze financial data. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to test investment strategies, evaluate risk, and make more informed financial decisions, potentially leading to improved investment performance.
For more career information including salaries, visit:
OpenCourser.com/course/qqw1hv/simulation
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Simulation of CONWIP Production Control Using R Simmer .
Save
The Little Book of R for Simulation provides a guide to using R for simulation. It valuable resource for anyone who wants to learn more about simulation using R.
Save
The R Cookbook provides a collection of recipes for solving common tasks in R. It can be a valuable resource for anyone who wants to learn more about R. Additionally, R Cookbook has a specific chapter on simulation which will be particularly useful for anyone taking this course.
Provides a detailed overview of Arena simulation software and how to use it to model and analyze real-world systems. It valuable resource for anyone who wants to learn more about Arena.
Save
Provides a comprehensive overview of stochastic modeling and simulation. It valuable resource for anyone who wants to learn more about simulation.
Provides a comprehensive overview of business process modeling, simulation, and design.
Save
Provides a comprehensive overview of queuing theory. It valuable resource for anyone who wants to learn more about simulation.
Provides a comprehensive overview of applied statistics and probability. It valuable resource for anyone who wants to learn more about simulation.
Provides a detailed overview of discrete event simulation and valuable resource for anyone who wants to learn more about simulation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qqw1hv/simulation
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Develops Discrete Event Simulation knowledge, which is standard in the industry
Teaches how to use R Studio and Simmer Library, which is commonly used in industry
Explores CONWIP Production Control, which is a widely-used technique in manufacturing
Taught by Moses Gummadi, who has expertise in simulation modeling
Offers hands-on labs and interactive materials, enhancing practical skills
Requires some background in statistics and simulation, which may limit accessibility for beginners
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